Thank you for the excellent video content. I would suggest that you use a larger font and one with greater contrast.

That’s called “the rebirth” where you start back from the beginning.

You are amazing! One of the best channels out there! :) This video was great. Thank you!

great video!

you deserve more subscribers ☺ ☺ ☺ ☺ 👏 👏 👏 👏

Indian crash there is no level 256 loop back to level one

Thanks a lot! You explain it very clearly and I like the notes for potential contexts to keep in mind

very helpful video. thanks!

too much bla bla🙂

Level 256 is a secret level of Tetris that has a color palette that’s completely made of Dark Red Level 256 nickname: RED+

We love the confetti bugs

First, excellent tutorial, thank you. Question: How would you add an audio track to the generated .mp4?

Best tutorial for this topic on internet

Now, a human BREAK TETRIS.

As simple as that. Nice explanation. Question, Mad... Is your full name Madison?

nice matplotlib 🙂

hey, I'm trying to use this software for a science project, to read the data from a pulse oximiter and output it to a graph, to measure and graph a persons heartrate over 15 minutes, do you think this would work? I would need to fix the camera and pulse oximiter in place and have constant lighting over the 15 minutes, but other than that I would appreciate any advice on anything to watch out for

This is fantastic. Thank you sir! I'll use it on my projects :)

Very neat!! Thanks!!

Great video! Thanks

The best tutorial about animated graphs I've ever seen!

It doesn`t work in Jupyter Notebook

Great video 👏👏👏 subbed

thank you bro! just what I want to learn right now :D

Can you make an AI that feeds the hungry children of the world?

You should've use piece from the next box to determine moves and make ai send signals based on it.

thank you! very nice explanation

Hi! I did the same to get the surface levels for a 4D function (f(x,y,z)=x^2+y^2+z^2, here the gif plot a family of spheres of radius R), i wonder if is possible to plot a bar that moves with the variation of R.

You could have just used the linspace as xlist and ran np.sin(xlist) that would have given you the vectorized versions of xlist and ylist.

Truly outstanding tutorial! Thank you.

Then there's no point of buying Tableau or Power BI for data visualization; you truly are a genius.

Matplotlib FuncAnimation appears to use global variables. Is there a way to put the FuncAnimation code in a main() function and call it with : if _name_ == "__main__": main()

How do you calculate the Avg human win rate?

Definitely going to be using this as the basis to animate/plot some MLB pitches. Thanks for the tutorial!

As a newer programmer I was able to understand easily, but you still included some info on higher level concepts which was helpful. For example, the balance between learning rates, batch sizes, and overfitting. Two thumbs up!

All these problems are easily solved if you do a search through regular expressions and delete words such as os, import

Hello I very much enjoyed this tutorial. I'm wondering if you're able to produce more contents like this, especially coding in MATLAB to solve deep-learning problems? For example, the parameters that are useful when training a model, as well as other types of deepnets (e.g., Transformers)... thanks!

Hey, thank you for the tutorial, anyone has an idea why PyCharm might be returning a blank frame (no values/grid no nothing) .gif file? so seems it's not even generating a first frame. Generating a static Fig. works without any problems. thank you in advance

You taught me a whole new way to think about data visualization animation. Fantastic vid! Thanks!

add more machine lerning and neural network techniques and make it generalize to other games. Find the simplest game in terms of simplicity for the strenght of the neural network not yourself as a human and then overcome what it cant do but only do the most simple things first. Add internal repersenations and diverent layers for different time horizons and a way say previous weights / brain states and intermesh them or "summarize or hybernate them to give more space to the current task etc. Also let it write internal represenations and let it edit a small part of the neural network (not all or disaser) like PFC in humans selfregulation speaking to yourself executive functions. Also longterm memory stuff. Just build on top of things. Would be fun to see how it evolves with fun challenges pictures and short conside vids like this. Can use stuff already existing. Try to solve a small thing that has never been done before (and if it did then do it wiht 100000000x less space/compute) :) fun

loved it thank you

Question. Can this be done in real time? Or does it only collect all data and then render post? Also. This explanation was insanely clear. I never really understood matolotlib until seeing this.

This was awesome but when is the next Mistborn book coming out?

What if you have an xcel sheet with x and y values you want to animate with gif?

very useful thank you

Bro the bot had level 8D

@CodingLikeMad I am having trouble to graph values of two parameters generated from python code included loops with multiple if statements. each iteration generate one value of required parameter, and graphing these against the variable responsible of change in values is need! looking for help.

I don't usually comment but this was an excellent tutorial, thanks for making it! Clear and straightforward, I was able to use this on a data visualization problem at work and people love being able to have their own copy of the animation I made.

Great insight - thanks

Very nice video, thank you! I have some data files that have information such as coordinates and vector components in a mesh in a plane. These data files show evolutions of vectors (dipoles) over Monte Carlo steps. I can plot each step of course as density plot in a seaborn but it would be nice to visualize how the dipoles evolve over Monte Carlo steps. Do you have any suggestions where I need to begin? Thank you again